Abstract

This study examines the role of multilevel governance in the prevention of air pollution in Delhi, NCR. Theresearch utilises both primary and secondary data sources to assess the perception and opinion of respondents on variousissues related to air pollution. Hypothesis testing is employed to analyse the data, and the findings indicate that less than50% of respondents feel that there is any conflict of interest between agencies or governments in the implementation ofschemes or programs to combat air pollution. Additionally, it is found that more than 50% of respondents believe that theformulation of one apex body for policy formulation, rather than multiple bodies, would be more effective in controllingair pollution. However, 50% of respondents believe that there is a lack of political will or coordination among stakeholdersin controlling air pollution, and multilevel governing bodies are seen as a bottleneck. Based on these findings, it isrecommended that a centralised authority be established to deal with air pollution-related issues and that more efforts bemade to increase public awareness about air pollution. The analytical approach used in this research highlights theimportance of hypothesis testing in making inferences about populations based on sample data. Future research couldalso look into how well different multilevel governance strategies work in different situations. It could also look into therole of citizen engagement and participation in making policies and programmes to stop air pollution. Also, research couldlook at the possible effects on the economy and society of using multilevel governance approaches to stop air pollution.

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